JP7037988B2 - Surveying system - Google Patents

Description

The present invention relates to a surveying system including a surveying instrument and a server capable of communicating via a communication network.

A surveying instrument (total station) irradiates a target placed at a measurement point with ranging light, receives the reflected light to perform ranging, and measures the angle based on the angle of rotation of the telescope.

Patent Document 1 discloses a method for accurately detecting the deviation of the rotation axis of the rotating portion of the surveying instrument and the deviation of the distance measuring optical axis and improving the accuracy of the correction.

Similarly, various methods for improving the functions of the surveying instrument have been proposed, and these methods are generally realized as software by executing a program built in the surveying instrument.

However, there is a problem that the functions of the surveying instrument may not be exhibited correctly only by the built-in program due to the unique characteristics and different usage environments of each device. In addition, there are similar problems due to changes in the surveying instrument over time, usage environment, and usage.

To deal with such problems, the operator adjusts the operation settings with skillful intuition, or the distributor or manufacturer collects the surveying instrument and modifies the program according to each condition. There is a need.

Therefore, there is a demand for a surveying system that can automatically optimize the operation regardless of the skill level of the worker and does not need to be collected by a sales agent or a manufacturer and modified in the program.

Japanese Unexamined Patent Publication No. 2009-156773

The present invention has been made in view of such circumstances, and an object of the present invention is to provide a surveying system capable of automatically optimizing the operation according to changes in the unique characteristics of a surveying instrument, the usage environment, and the like. And.

In order to achieve the above object, the surveying system according to one aspect of the present invention emits distance measuring light and receives the distance measuring light reflected by the target to perform distance measurement and angle measurement to the target. A surveying instrument having a measuring unit, an arithmetic control unit that controls the measuring unit, and a communication unit capable of communicating with the outside via a communication network, a first external device having the same configuration as the surveying instrument, and server control. Unit, a server communication unit capable of communicating with the surveying instrument and the first external device, data related to the measurement of the surveying instrument and the first external device, and information about the surveying instrument and the external device 1. A server including a server storage unit for storing, the server control unit is stored in the server, an abnormality detection unit that detects an abnormality of the surveying instrument based on the data stored in the server and the information. It is equipped with a cause analysis unit that analyzes the cause of the abnormality by machine learning based on the data or the information and predicts a method for improving the abnormal condition, and a reporting unit that reports the result of the analysis and prediction to a surveying instrument. The arithmetic processing unit outputs an operation program based on the results of analysis and prediction from the abnormality detection command unit that commands the server to detect an abnormality, the cause analysis command unit that commands the server to analyze the cause, and the server. It is characterized by having a program modification unit for optimization.

In the above aspect, the data related to the measurement includes measurement result data, accuracy data, and measurement status data, and the abnormality detection unit detects an abnormality in the measurement result data based on the accuracy data, and the cause analysis unit. Predicts a method for analyzing the cause of the abnormality and improving the abnormal state based on the result of learning the correspondence with the measurement result data, the accuracy data, and the measurement status data by machine learning, and predicts the program. It is also preferable that the correction unit modifies the measurement program so that the method for improving the abnormal condition can be executed.

Further, in the above aspect, it is also preferable that the arithmetic control unit further includes a result transmission unit to transmit the program modification result to the server, and the server storage unit stores the program modification result.

Further, in the above aspect, a second external device of a type different from that of the first external device is further provided, and the cause analysis unit includes data and the survey regarding the measurement of each of the surveying instrument and the first external device. Analysis of the cause of the anomaly and improvement of the anomalous condition based on at least one of the data about the second external device and the data available via the communication network, in addition to the information about the machine and the first external device. It is also preferable to predict the method.

The surveying instrument includes an input unit and an output unit, and the server includes a reporting unit that reports the results of abnormality detection, cause analysis, and improvement method prediction by the abnormality detection unit and the cause analysis unit to the surveying instrument. The calculation control unit uses the output unit to report and give advice to the operator based on the abnormality detection result by the abnormality detection unit and the prediction result of the method for improving the abnormality state by the cause analysis unit. It is also preferable that the input unit can input a command from an operator.

According to the above configuration, the program can be automatically modified according to changes in the unique characteristics of the surveying instrument, the usage environment, and the like, so that the operation of the surveying instrument can be optimized.

It is a figure which shows the structure of the surveying system which concerns on 1st Embodiment of this invention. It is a right perspective view of the surveying instrument used in the surveying system of the same form. It is a flowchart of the counter-measurement operation using the same type of surveying system. It is a flowchart of the process of automatic correction of a program in the surveying system of the same form. It is a flowchart of an optimized counter-measure observation operation using the same form of surveying system. It is a figure explaining the method of automatic correction of a program in the surveying system of the same form. (A), (c), and (e) are diagrams showing messages from the surveying instrument displayed on the display unit of the surveying instrument according to the surveying system of the same form, (b), (d), and (f). Is a diagram showing an instruction input by the operator displayed on the display unit. It is a flowchart of the process of automatic correction of a program in the surveying instrument of the same form. (a), (c), and (e) are diagrams showing messages from the surveying instrument output from the voice output unit of the surveying instrument related to the surveying system of the same form, (b), (d), and (f). ) Is a diagram showing an instruction input by the operator from the voice input unit. (A), (c), and (e) are diagrams showing messages from the surveying instrument displayed on the display unit of the surveying instrument according to the surveying system of the same form, (b), (d), and (f). Is a diagram showing an instruction input by the operator displayed on the display unit. (A) and (c) are diagrams showing messages from a surveying instrument output from a voice output unit of a surveying instrument related to a surveying system of the same form, and (b) and (d) are diagrams showing messages from a voice input unit. It is a figure which shows the instruction input by an operator. (A) and (c) are diagrams showing messages from the surveying instrument displayed on the display unit of the surveying instrument related to the surveying system of the same form, and (b) and (d) are displayed on the display unit. In addition, it is a figure which shows the instruction input by a worker.

A preferred embodiment of the present invention will be described with reference to the drawings. In the following embodiments, the same configurations are designated by the same reference numerals, and duplicate description will be omitted.

Embodiment (system configuration)
FIG. 1 is a block diagram of a surveying system (hereinafter, also simply referred to as “system”) 1 according to an embodiment of the present invention.

The system 100 includes a surveying instrument TS, a server S, a first external device EE1, and a second external device EE2. The surveying instrument TS, the first external device EE1, and the second external device EE2 are configured to be able to communicate with the server S via the communication network N.

The communication network N can be applied to the Internet, a local area network, a wide area network, a satellite communication network, and the like, and can be combined in a complex manner. Further, the communication network N may be wired communication using a cable or wireless communication configured by Wi-Fi or the like.

(Structure of surveying instrument TS)
The surveying instrument TS is a total station. FIG. 2 is a right perspective view of the surveying instrument TS used in the system 1 of FIG. In appearance, the surveying instrument TS includes a base portion 2a provided on the leveling device, a rack portion 2b that horizontally rotates on the base portion 2a, and a telescope 2c that rotates vertically at the center of the base portion 2b. The telescope 2c includes a collimation optical system for collimating the target.

Further, the surveying instrument TS functionally includes a measuring unit 10, an arithmetic control unit 30, a storage unit 40, a worker interface unit 50, and a communication unit 60, as shown in FIG.

The measuring unit 10 includes an EDM (Electro-Optical / Measurement / Measurement / Instrument) 11, a horizontal angle detector 12, a vertical angle detector 13, a tilt sensor 14, a GNSS receiver 15, and an automatic collimation unit 16. , A horizontal rotation drive unit 17, a vertical rotation drive unit 18, a clock 19, and an environment sensor 21.

The EDM 11 includes a light emitting element, a distance measuring optical system, and a light receiving element. The EDM 11 is arranged inside the telescope 2c, and the ranging optical system shares an optical element with the collimation optical system. The EDM 11 emits range-finding light from the light emitting element, receives the reflected light from the target by the light receiving element, and measures the range of the target.

The horizontal angle detector 12 and the vertical right angle detector 13 are rotary encoders, and the rotation angles around the rotation axes of the rack portion 2b and the telescope 2c driven by the horizontal rotation drive unit 17 and the vertical rotation drive unit 18, which will be described later, respectively. Is detected, and the horizontal angle and the vertical angle of the collimation optical axis A are obtained.

The tilt sensor 14 is provided in the leveling device and is used to detect the tilt of the surveying instrument body and level it horizontally.

The GNSS receiver 15 receives a navigation signal from a navigation satellite such as a GNSS satellite, and acquires satellite positioning data at its own position based on the navigation signal.

The automatic collimation unit 16 is composed of a collimation optical system, a collimation light source, an image sensor, and the like. The collimation light is emitted from the collimation light source, and the reflected collimation light from the target is received by the image sensor to receive light. Based on the result, automatic collimation is performed to align the collimation optical axis with the target.

The horizontal rotation drive unit 17 and the vertical rotation drive unit 18 are motors, and are controlled by the arithmetic control unit 30 to horizontally rotate the rack unit 2b and vertically rotate the telescope 2c, respectively.

The environment sensor 21 is a sensor that measures the measurement environment of the measuring instrument TS, and includes various sensors such as a temperature sensor, a humidity sensor, a barometric pressure sensor, an air flow meter, and a vibration meter, which have known configurations. These sensors may be used alone or in combination of two or more.

The arithmetic control unit 30 includes a CPU (Central Processing Unit) and a GPU (Graphical Processing Unit). The arithmetic processing unit executes various processing based on various information input from the measurement unit, the communication unit, and the input unit. Further, the arithmetic control unit 30 executes a measurement program and controls the drive of the horizontal rotation drive unit and the vertical rotation drive unit. The calculation control unit 30 stores the measurement result data, the accuracy data, and the measurement status data obtained by the measurement execution in the storage unit 40, and transmits the measurement result data, the accuracy data, and the measurement status data to the server via the communication unit 60.

Further, the arithmetic control unit 30 includes a measurement execution unit 31, an abnormality detection command unit 132, a cause analysis command unit 133, a program correction unit 34, a report / advice unit 35, and a correction result transmission unit 36 as functional units.

The measurement execution unit 31 executes the measurement according to the counter-measurement observation program.

The abnormality detection command unit 132 instructs the server to detect an abnormality in measurement based on the data and information stored in the storage unit 40.

In addition, "abnormality" means that it is different from the normal state, and measurement abnormality means that the measurement is not performed normally, the distance measurement value is not correct, the measured value is large, and the measured value is small. , Measurement value accuracy is poor, automatic collimation cannot be performed at the time of measurement, data acquisition is not normal, output data is abnormal, and other measurement operations are different from normal. In addition, these values and conditions have changed compared to the past, such as the measurement result being different from yesterday at a certain measurement point.

The cause analysis command unit 133 analyzes the cause of the abnormality detected by the abnormality detection unit 74 and instructs the server to predict the improvement method.

The program modification unit 34 modifies the measurement program so as to be optimized based on the cause analysis by the cause analysis unit 75 and the prediction result of the improvement method.

The modification result transmission unit 36 transmits the modification result of the program to the server S.

Each functional unit may be configured as software controlled by artificial intelligence, or may be configured by a dedicated arithmetic circuit. Further, the functional unit configured by software and the functional unit configured by a dedicated arithmetic circuit may coexist.

The storage unit 40 is, for example, a RAM (Random, Access, Memory).

The storage unit 40 stores a program for executing the function of each functional unit.

The user interface unit 50 includes an input unit 51 and a display unit 52.

The input unit 51 is, for example, an operation button, whereby the operator can input a command or select a setting.

The display unit 52 is, for example, a liquid crystal display, and displays various information such as measurement results, environmental information, and setting information. In addition, the command input by the operator is displayed from the input unit 51.

The input unit 51 and the display unit 52 may be integrally configured to form a touch panel display.

The communication unit 60 enables communication with the server S and the external devices EE1 and EE2 via the communication network N, and enables connection to the Internet using, for example, an Internet protocol (TCP / IP).

(Configuration of server S)
The server S includes a server communication unit 71, a server storage unit 72, and a server control unit 73.

The server communication unit 71 enables information to be transmitted / received between the server S and the surveying instrument TS, the first external device EE1 and the second external device EE2 via the communication network N.

As the server storage unit 72, for example, an HDD, a solid state drive, a semiconductor flash memory, a Blu-ray disc, or the like can be used.

The server storage unit 72 performs measurement result data, accuracy data, environmental data such as temperature, pressure, and humidity, and other counter-measures observations for each of the surveying instrument TS, the first external device EE1 and the second external device EE2. Data related to the setting of the observation method (number of measurements, measurement conditions, etc.), data related to the motor drive state during turning, and data from the tilt sensor (hereinafter, these data are collectively referred to as "measurement status data") (also referred to as "measurement status data"). Hereinafter, "measurement result data", "accuracy data" and "measurement status data" are collectively referred to as "measurement data"). Further, the server storage unit 72 stores instrument-specific information such as the model name / manufacturing year, registration program, etc. as information on the instrument for each of the surveying instrument TS, the first external device EE1 and the second external device EE2. do.

The server control unit 73 is a control unit including at least a high-performance CPU and memory (ROM, RAM, etc.).

The server control unit 73 includes an abnormality detection unit 74, a cause analysis unit 75, and a reporting unit 76 as functional units.

The abnormality detection unit 74 detects an abnormality in the measurement based on the data and information stored in the server storage unit 72 in response to a command from the surveying instrument TS.

The cause analysis unit 75 analyzes the cause of the abnormality by machine learning based on the data and information stored in the server storage unit 72 in response to a command from the surveying instrument TS, and predicts a method for improving the abnormal state. ..

The reporting unit 76 reports the detection result by the abnormality detection unit 74, the analysis result by the cause analysis unit, and the prediction result of the improvement method to the surveying instrument TS.

Each functional unit may be configured as software controlled by artificial intelligence, or may be configured by a dedicated arithmetic circuit. Further, the functional unit configured by software and the functional unit configured by a dedicated arithmetic circuit may coexist.

(Configuration of the first external device EE1)
The first external device EE1 is a total station of the same type as the surveying instrument TS. The first external device EE1 includes a measurement unit 81, an arithmetic control unit 82, a storage unit 83, a user interface unit 84, and a communication unit 85. Since these are the same as the measuring unit 10, the arithmetic control unit 30, the storage unit 40, the user interface unit 50, and the communication unit 60 of the surveying instrument TS, the description thereof will be omitted.

Similar to the surveying instrument TS, the first external device EE1 transmits the measurement result data, the accuracy data, and the measurement status data obtained by the measurement execution to the server for each measurement via the communication unit 85.

(Configuration of the second external device EE2)
The second external device EE2 is a measuring instrument of a different type from the surveying instrument TS. For example, anemometers, air flow meters, thermometers, hygrometers, vibration meters, and other measuring devices. Further, it may be a surveying instrument such as a total station, an electronic level, or a transit, which has a different configuration from the surveying instrument TS.

The second external device EE2 includes at least a measuring unit 91 and a communication unit 92.

The measuring unit 91 has a known configuration according to the type of the external device. That is, in the case of an anemometer, it has a configuration as a measurement unit of a known anemometer.

The communication unit 92 enables transmission / reception of various data to / from the server S via the communication network N.

Similar to the surveying instrument TS and the first external device EE1, the second external device EE2 transmits measurement result data and various data to the server S for each measurement.

<Example 1>
As one example, a method of automatically modifying the counter-measurement observation program of the surveying instrument TS will be described using the surveying system 100 according to the present embodiment.

(Countermeasure observation operation at the time of shipment)
FIG. 3 is a flowchart of the counter-observation operation by the counter-observation program at the time of shipment of the surveying instrument TS. When the operator operates the surveying instrument TS to start the counter-measures observation, in step S101, the surveying instrument TS sets the surveying instrument TS and the measurement method of the counter-measurement observation in preparation for the measurement.

Specifically, as the setting of the surveying instrument TS, tilt leveling, temperature, atmospheric pressure, humidity setting for meteorological correction, collimation correction setting, double difference correction setting, target type, and prism constant are set. In addition, as the setting of the measurement method of the counter-measures, the instrument point, the point name of the measurement point, the registration of the instrument height / collimation height, the number of sets of the counter-observation, the specification of the distance reading constant, the setting of the allowable accuracy, etc. are performed. ..

Next, in step S102, the measurement execution unit 31 drives the horizontal rotation drive unit 17 to rotate the telescope 2c in the horizontal direction at a predetermined speed. Further, the telescope 2c is inverted in the vertical direction according to the positive and negative of the measurement.

Next, in step S103, the measurement execution unit 31 automatically collimates the target using the automatic collimation unit 16. When the collimation of the target is completed, the process proceeds to step S104 to measure the horizontal angle.

Next, in step S105, the measurement execution unit 31 determines whether or not the measurement has been completed. If the measurement is not completed (No), the process returns to step S102 and the measurement is repeated.

On the other hand, when the measurement is completed (Yes), the process proceeds to step S106, and the measurement execution unit 31 checks the measurement accuracy (double angle difference, observation difference) and ends the measurement.

In a series of counter-measures observation operations, the surveying instrument TS has the operation status by the operator, environmental data such as temperature, pressure, and humidity acquired by the environment sensor 21, and other data related to the setting of the observation method of counter-measures (step S101). , Data related to the motor drive state during turning (step S102), tilt sensor data (step S102), measurement result data (step S104), and measurement accuracy (double angle difference, observation difference) check result (hereinafter, "accuracy data"). (Step S107) and the like are sequentially transmitted to the server S. The server S stores these data in the server storage unit. The data stored before the present in this way is called "past data".

(Automatic correction of counter-observation program)
FIG. 4 is a flowchart of a process of automatically modifying a program in order to improve an abnormality of the surveying instrument TS by using the system 100. The surveying instrument TS repeatedly executes the following operations for each measurement or as necessary.

First, as described above, the surveying instrument TS transmits measurement status data, measurement result data, and accuracy data to the server S for each measurement. Similarly, the first external device EE1 and the second external device EE2 also transmit the measurement status data and the measurement result data server S for each measurement and each measurement. The server S stores these data as past data in the server storage unit 72 in association with the surveying instrument TS, the first external device EE1 and the second external device EE2.

When the process is started, the surveying instrument TS makes a measurement in step S201. The specific operation of the measurement is the operation of steps S101 to S106 in FIG. Next, in step S202, the abnormality detection command unit 132 commands the server S to detect an abnormality.

Next, in step S203, the abnormality detection unit 74 detects whether or not there is an abnormality, that is, inaccurate data, based on the measurement data stored in the server storage unit 72. If no abnormality is detected (No), the process ends.

However, as the measurement is repeated 100 times and 500 times, there may be a measurement in which the accuracy (double angle difference, observation difference) of the result of the counter-measurement observation is poor. When such an abnormality is detected (Yes), in step S204, the cause analysis unit 75 receives the past data of the surveying instrument TS and the first external device EE1 and the second external device EE2 from the server S, and receives the past data. Based on the result of machine learning the mutual correspondence between the measurement status data and the accuracy data of the surveying instrument TS and the first external device EE1 and the second external device EE2, the cause of the abnormality is analyzed and the improvement method is predicted. ..

Specifically, the abnormality is detected by confirming whether the accuracy data of the surveying instrument TS is within the predetermined range. Further, the measurement environment data of the surveying instrument TS is compared with the past measurement environment data, the measurement data and the accuracy data of the surveying instrument TS, and the past measurement environment data, the measurement data and the accuracy data of the first external device EE1. However, the cause of the poor accuracy is that the tilt is not stable, that is, the value of the tilt sensor 14 does not stay within the predetermined range for a while even if the automatic collimation is completed. To analyze. In addition, by comparing the data related to the past measurements of the surveying instrument TS and the first and second external devices EE1 and EE2 when the tilt is not stable in the past, the measurement conditions that tend to improve the stability of the tilt are determined. Find out and predict the optimum measurement conditions.

As a result, it can be seen that the surveying instrument TS has a characteristic that the value of the tilt sensor becomes unstable, for example, in the case of measurement with a horizontal angle of 30 ° to 60 °, which may be the cause. To improve this condition from the past data of the surveying instrument TS or the past data of the first external device EE1, for example, the motor driving method is driven 1'to the left after automatic collimation, and then to the right. It turns out that it is effective to drive 1'in the direction.

Next, in step S205, the reporting unit 76 reports the cause analysis result by the cause analysis unit 75 and the prediction result of the improvement method to the surveying instrument TS.

Next, in step S206, the program correction unit 34 of the surveying instrument TS corrects the measurement program based on the cause analysis result and the prediction result of the improvement method, and optimizes the program. Details of the modified counter-observation program will be described later.

As a result of the analysis in step S205, the cause obtained is not limited to one, and may be multiple. Further, for one cause, the method for improving the abnormal state is not limited to one, and may be multiple. In such a case, the program modification unit 34 may select and execute the improvement method predicted to be the most effective.

Next, in step S207, the measurement execution unit 31 executes the measurement by the modified program, acquires the measurement data, the accuracy data, and the measurement environment data, and transmits the measurement data to the server S.

Next, in step S208, the modification result transmission unit 36 transmits the modification result of the program to the server.

Next, in step S209, the abnormality detection unit 74 detects the abnormality again in the same manner as in step S203, and determines whether or not the abnormal state found in step S203 has been improved.

If the abnormal state has not been improved (No), the process returns to step S203, and the cause is analyzed and the improvement method is predicted again.

When the abnormal state is improved (Yes), in step SS209, the server storage unit 72 stores the program modification result in the server storage unit 72 in association with the identification number of the surveying instrument TS. The program modification result is also used as past data in the automatic modification of the program from the next time onward.

(Optimized counter-observation operation)
FIG. 5 is a flowchart of the counter-measurement operation optimized by the automatic modification of the program.

In steps S301 to S303, similarly to steps S101 to S103, when the counter-measurement observation is started by the command of the operator, the measurement execution unit 31 drives the horizontal rotation drive unit 17 to rotate the telescope 2c and automatically view the object. Do the quasi.

Next, in step S304, it is determined whether or not the horizontal angle is 30 ° to 60 °.

When the horizontal angle is not 30 ° to 60 ° (No), the process proceeds to step S307, and the measurement execution unit 31 executes the measurement of the horizontal angle.

When the horizontal angle is 30 ° to 60 ° (Yes), the process proceeds to step S305, and the measurement execution unit 31 drives the horizontal rotation drive unit 17 to turn 1'to the left. Next, in step S306, the horizontal rotation drive unit 17 is driven to turn 1'to the right. Next, in step S307, the measurement execution unit 31 executes the measurement of the horizontal angle.

After the horizontal angle measurement is executed, the determination of the end of the measurement (step S308) is performed, the steps S302 to S308 are repeated if the measurement is not completed, and the accuracy check after the measurement is completed (step S309), as in steps S105 to S106. , End the process.

Here, a method of modifying the program will be described. Generally, the process specified by the program is represented by a flowchart as shown in the left figure of FIG.

As shown in the right figure, the cause analysis unit 33 according to the present embodiment prepares at least one arrow (gray arrow) between each process, and reconnects the arrows connecting the processes A to H. , Select the optimal processing order and content to improve the anomaly by adding new processing or deleting processing. Next, the program modification unit 34 reconnects the arrows (black arrows), adds or deletes the processes so that the cause analysis unit 33 determines that the order and contents of the processes are effective for improving the abnormality. Execute the modification of the program by doing.

In this example, the program modification unit 34 modifies the program so as to newly add the conditions of step S304 and the processes of steps S305 and S306 to the measurement programs (steps S101 to S106) at the time of shipment. ..

According to the present embodiment, even when an abnormality occurs in the surveying instrument TS due to the characteristics peculiar to the surveying instrument TS, the measurement environment, the aged deterioration, etc., the abnormality detection unit 74 detects the abnormality, and the cause analysis unit 75 Based on the data on the measurement of the surveying instrument TS and the first external device EE1 and the information on the instrument, machine learning is used to analyze the cause of the abnormality, predict how to improve the abnormal condition, and based on the prediction result. Since the program correction unit 34 automatically corrects the existing program to improve the abnormal state, the abnormal state of the surveying instrument TS can be improved and the operation can be optimized regardless of the skill of the operator.

In particular, since the cause analysis unit 75 analyzes the cause of the abnormality by machine learning and predicts a method for improving the abnormal state, it is possible to deal with an unknown abnormality.

Further, according to the present embodiment, even if it is an abnormality that a skilled person would have dealt with by finely adjusting the setting of the measuring instrument by intuition or the like, the content of such setting is included. Since machine learning can be performed based on past data, the cause can be analyzed, and the improvement method can be predicted, even a beginner can perform the same measurement as an expert.

Further, according to the present embodiment, since the existing program is automatically modified, it is possible to save the trouble of bringing the surveying instrument TS to the manufacturer or the sales agent and modifying the program.

Further, according to the present embodiment, since machine learning is performed based not only on the past data of the surveying instrument TS itself but also on the past data of the first external device EE1, the machine learning accuracy is high and more optimal. You can find a way to improve it.

Further, in machine learning, the amount of data to be processed is enormous, but according to the present embodiment, the data processing speed is increased because the machine learning is performed not by the surveying instrument TS itself but by a server equipped with a higher performance CPU. Will be faster.

Further, the surveying instrument TS transmits the past data to the server for each measurement, and the basic data increases with time in analyzing the cause of the abnormality and predicting the improvement method. Therefore, it is possible to optimize the function in real time in response to changes in the surveying instrument TS over time and changes in the measurement environment.

Further, according to the present embodiment, the surveying instrument TS transmits the program modification result to the server, and the server stores this as past data. Therefore, when the program is automatically corrected by another surveying instrument such as the first external device EE1, the program correction result can be used. In addition, the development engineer can refer to the data and use it for program development.

<Modification 1>
In the above example, the abnormality is detected by the abnormality detection unit 72 by determining whether or not it is within the range of the preset value. However, the data related to the measurement of the surveying instrument TS, the surveying instrument TS, and the second It may be configured to detect an abnormality by machine learning using the past data of the external device EE1 of the above.

<Modification 2>
In the above example, machine learning is performed based on the past data of the surveying instrument TS and the past data of the first external device EE1, but the data on which the machine learning is based is not limited to this, and the second is not limited to this. Past measurement data of the external device EE2 and any data distributed on the Internet can be used.

For example, when an abnormality that the amount of received light received by the surveying instrument is not stable is detected, the temperature at a predetermined distance from the surveying instrument and the temperature at a predetermined distance from the past data of the surveying instrument TS and the temperature sensor (second external device EE2) are obtained. Identify the cause of the large effect of atmospheric fluctuations because the temperature difference at the point where the surveying instrument is installed is within the specified range, and as an improvement method, set the optimum measurement conditions corresponding to the atmospheric fluctuations. You can see that.

Second embodiment (system configuration)
FIG. 7 is a block diagram of the survey system 200 according to the second embodiment. As shown in FIG. 7, the system 200 includes a surveying instrument TSa, a server S, a first external device EE1, and a second external device EE2, similarly to the system 200 according to the first embodiment.

However, the difference is that the surveying instrument TSa constituting the system 200 has a report / advice unit 35 and a voice recognition unit 37 in the arithmetic processing unit 230. Further, the user interface unit 250 is different in that it has a voice input unit 53 and a voice output unit 54. Since the other points are the same, the same reference numerals are given to the same configurations, and duplicate description will be omitted.

The reporting / advice unit 35 has the abnormality detection result by the abnormality detection unit 74, the improvement status of the abnormal state after the program correction, and the cause analysis result and improvement by the cause analysis unit 753 reported by the report unit 76 of the server S. Method Create a message for reporting and advice to workers based on the prediction results.

The voice recognition unit 37 recognizes the voice input from the voice input unit 53 by the natural language processing function.

The voice input unit 53 and the voice output unit 54 are microphones and speakers, respectively. The voice input unit 53 collects the voice emitted by the operator, converts it into a voice signal, and outputs the sound. The voice output unit 54 outputs the report / advice to the worker generated by the report / advice unit 35 of the surveying instrument as voice based on the instruction of the arithmetic control unit 30.

(Automatic correction of program)
FIG. 8 is a flowchart of a process of automatically modifying the program by the surveying system 200.

When the process is started, the surveying instrument TS makes a measurement in step S501. Next, in step S502, the abnormality detection command unit 132 of the surveying instrument TS commands the abnormality detection unit 74 of the server S to detect the abnormality.

Next, in step S503, the abnormality detection unit 74 detects an abnormality based on the past data stored in the server storage unit 72. If no abnormality is detected (No), the process ends.

When an abnormality is detected (Yes), in step S504, the reporting unit 76 transmits a detection result and a report to predict the cause to the surveying instrument TSa. Next, in step S505, a report / advice is created based on the report received from the report / advice unit 35 server Sa of the surveying instrument TSb, and the voice output unit 54 outputs the report / advice as voice as shown in FIG. 9A.

Next, in step S506, when the operator inputs a command consenting to the analysis of the cause by voice from the voice input unit 53 (Yes) as shown in FIG. 9B, the process proceeds to step S507. Then, the cause analysis command unit 133 transmits the command to the server S.

Next, in step S508, the cause analysis unit 75 executes the cause analysis in the same manner as in step S203, analyzes the cause of the abnormality, and predicts the improvement method.

On the other hand, if the worker does not agree with the analysis of the cause in step S506 (No), the process ends.

Next, in step S509, the reporting unit 76 transmits the cause analysis result and the improvement method prediction result in step S508 to the surveying instrument TSa.

Next, in step S510, the report / advice unit creates a report of the cause analysis result and advice for confirming whether to execute the improvement method based on the report received from the server S, and the voice output unit 54 shows the figure. Output by voice as shown in 9 (c).

Next, in step S511, when the operator's voice command input from the voice input unit 53 agrees to modify the program as shown in FIG. 9D (Yes), the process is step. Moving to S512, the program modification unit 34 modifies the program in the same manner as in step S204.

On the other hand, in step S511, if the operator's voice command does not agree with the correction (No), the process ends.

When the modification of the program is completed in step S512, in step S513, the measurement execution unit 31 executes the measurement by the modified program, and then in step S514, the measurement and measurement are transmitted to the server Sa and the abnormality detection command unit. 132 instructs the abnormality detection unit 74 of the server S to process the abnormality detection.

Next, in step S515, the abnormality detection unit 74 detects the abnormality in the same manner as in step S503, and detects whether or not the abnormal state detected in step S503 is improved.

When the abnormal state is improved (Yes), in step S516, the reporting unit 76 prepares a report on the improvement of the abnormal state and sends it to the surveying instrument TSa. Next, in step S517, the report / advice unit 35 creates a report based on the report received from the server S, and outputs the voice from the voice output unit 54 as shown in FIG. 9 (e).

Upon confirming the voice report, the operator inputs an understanding in step S517 as shown in FIG. 9 (f), and ends the process.

On the other hand, when the abnormal state is not improved in step S515 (No), the process returns to S507, and the analysis of the cause and the prediction of the improvement method are repeated.

According to the above configuration, the report from the surveying instrument TS can be recognized by voice and the command from the operator can be given by voice, so that the command can be transmitted while performing other work, and the work efficiency is improved. improves. In addition, the time and effort required to input commands can be reduced, and usability is improved. Moreover, since the command can be transmitted without touching the surveying instrument, there is no risk of affecting the surveying conditions. Further, since the voice recognition unit 37 has a natural language processing function, even a worker who does not have detailed knowledge can issue a command.

It should be noted that the report / advice in steps S505, 510,517 and the exchange of instructions of the user in steps S506, S511, S515 are performed instead of using the voice output unit 54 and the voice input unit 53 as described above. The display unit 52 and the input unit 51 may be used as shown in FIG.

<Modification 3>
Further, in the detection of step S503 or higher, the cause analysis of step S508, and the prediction of the improvement method, there may be a plurality of abnormality detection results, cause analysis results, and improvement method prediction results.

Therefore, instead of the message from the surveying instrument output from the voice output unit of FIGS. 9 (a) and 9 (c), the message is output as shown in FIGS. 11 (a) and 11 (c), respectively. By inputting voice from the voice input unit as in (b) and (d), the operator can arbitrarily select the target of analysis and program modification, or let the surveying instrument automatically select it. May be configured to be selectable or not to be selected. In addition, it may be configured to notify the priority, effectiveness, and the like of the process to assist the operator in selecting the process.

Further, instead of the display of the display unit of FIGS. 10 (a) to 10 (d), the display is as shown in FIGS. 12 (a) to 12 (d), and a plurality of results are listed by the operator. , It is configured so that you can arbitrarily select the target of analysis and program modification according to the display on the screen, let the surveying instrument select it automatically, select all, or do not select it. May be good. In addition, the priority, effectiveness, and the like of the process may be displayed to assist the operator in selecting the process.

According to the above configuration, the operator can perform the necessary operations according to the display or voice message output from the surveying instrument, so that even if the operator does not have difficult knowledge, appropriate processing can be easily performed. Can be selected. If the worker is an expert, an appropriate process can be selected as needed.

Although the preferred embodiment of the present invention has been described above, the above-described embodiment is an example of the present invention, and each configuration can be combined based on the knowledge of those skilled in the art, and such a mode is also available. It is included in the scope of the present invention.

EE1 First external device EE2 Second external device N Communication network TS, TSa Surveying instrument S Server 10 Measurement unit 30, 230 Arithmetic control unit 34 Program correction unit 35 Report / advice unit 51 Input unit 52 Display unit (output unit)
53 Voice input section (input section)
54 Audio output section (output section)
60 Communication unit 71 Server communication unit 72 Server storage unit 73 Server control unit 74 Anomaly detection unit 75 Cause analysis unit 76 Reporting unit 100, 200 Surveying system 132 Abnormality detection command unit 133 Cause analysis command unit

Claims (5)

A measurement unit that emits distance measurement light and receives the distance measurement light reflected by the target to perform distance measurement and angle measurement to the target, an arithmetic control unit that controls the measurement unit, and a communication network. A surveying instrument equipped with a communication unit capable of communicating with the outside ;
A first external device having the same configuration as the surveying instrument ;
A server control unit, a server communication unit capable of communicating with the surveying instrument and the first external device, data related to the measurement of the surveying instrument and the first external device, and the surveying instrument and the first external device. A server with a server storage that stores information about ;
The server control unit is an abnormality detection unit that detects an abnormality of the surveying instrument based on the data and the information stored in the server, and machine learning based on the data or the information stored in the server. It is equipped with a cause analysis unit that analyzes the cause of the abnormality and predicts a method for improving the abnormal condition, and a reporting unit that reports the results of the analysis and prediction to the surveying instrument.
The arithmetic control unit is based on an abnormality detection command unit that commands the server to detect an abnormality, a cause analysis command unit that commands the server to analyze the cause, and the analysis and prediction results reported by the server. A survey system characterized by having a program modification unit that optimizes the operation program. The data related to the measurement includes measurement result data, accuracy data, and measurement status data.
The abnormality detection unit detects an abnormality in the measurement result data based on the accuracy data, and determines the abnormality.
The cause analysis unit analyzes the cause of the abnormality and improves the abnormal state based on the result of learning the correspondence between the measurement result data, the accuracy data, and the measurement status data by machine learning. Predict and
The surveying system according to claim 1, wherein the program modification unit modifies the measurement program so that the method for improving the abnormal state can be executed. The arithmetic control unit further includes a result transmission unit.
The program modification result is sent to the server,
The surveying system according to claim 1 or 2, wherein the server storage unit stores the program modification result. Further equipped with a second external device of a type different from the first external device,
In addition to the data related to the measurement of the surveying instrument and the first external device and the information about the surveying instrument and the first external device, the cause analysis unit obtains data related to the second external device and the communication network. The surveying system according to any one of claims 1 to 3, wherein the surveying system is characterized by analyzing the cause of the abnormality and predicting a method for improving the abnormal state based on at least one of the data available through the system. The surveying instrument includes an input unit and an output unit.
The server includes a reporting unit that reports an abnormality detection result by the abnormality detection unit, a cause analysis result by the cause analysis unit, and a prediction result of an improvement method to the surveying instrument.
The arithmetic control unit uses the output unit to report and give advice to the operator based on the abnormality detection result by the abnormality detection unit and the prediction result of the abnormality state improvement method by the cause analysis unit. Equipped with
The surveying system according to any one of claims 1 to 4, wherein the input unit is capable of inputting a command from an operator.

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